CN108110756A - Consider the industrial park distribution network planning method of uncertain factor - Google Patents

Consider the industrial park distribution network planning method of uncertain factor Download PDF

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CN108110756A
CN108110756A CN201810020913.8A CN201810020913A CN108110756A CN 108110756 A CN108110756 A CN 108110756A CN 201810020913 A CN201810020913 A CN 201810020913A CN 108110756 A CN108110756 A CN 108110756A
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load
industrial park
distribution network
scale
probability
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陈冰斌
林佳
戴小青
陈波
毛韶阳
王蕙
陈锐
陈垣玮
吴恺琳
陈晓彬
刘涌
武鹏
陈万喜
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SHANGHAI PROINVENT INFORMATION TECH Ltd
Fuzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
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SHANGHAI PROINVENT INFORMATION TECH Ltd
Fuzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The present invention proposes a kind of industrial park distribution network planning method for considering uncertain factor.This method initially sets up the probability load forecasting model for considering industrial park negative rules;Secondly, based on probability load model prediction result, scale division is carried out to garden load growth, uncertain planning is switched to the certainty based on load scale plans;Then, the representative transitions rack wiring program results based on cable system and the representative transitions rack wiring program results based on aerial net are provided respectively;Finally, reliability and evaluation of power supply capability are powered to representative transitions space truss project scheme using Monte Carlo Analogue Method and repeated power flow method.

Description

Consider the industrial park distribution network planning method of uncertain factor
Technical field
The present invention relates to the distribution network planning methods in Power System Planning.Industrial park distribution network planning is less at present examines Consider the influence of negative rules factor, therefore establish the probability load forecasting model for considering industrial park negative rules; Based on probability load model prediction result, scale division is carried out to garden load growth, uncertainty planning is switched to based on negative The certainty planning of lotus scale;The representative transitions rack wiring program results based on cable system is provided respectively and based on aerial net Representative transitions rack wiring program results;Using Monte Carlo Analogue Method and repeated power flow method to the wiring of representative transitions rack into Row power supply reliability and evaluation of power supply capability.
Background technology
Load prediction is the basis of distribution network planning, however, being influenced by various factors, the load prediction knot of industrial park Often there are larger uncertainties for fruit.
The main task of traditional Electric Power Network Planning is load growth situation and higher level's power source planning scheme during research program On the basis of, to meet the development of custom power supply and demand, determine optimal power network development plan, make power grid construction and Operating cost is minimum.In other words, traditional distribution network planning method is by selecting an anticipation environment, using under the environment The projecting parameter of " definite ", which acquires, to be met the environmental constraints, relatively economical index certainty scheme and is planned.
However, in distribution network planning, either load prediction or a space truss project suffers from certain uncertainty, Such as:Growth each year of load is all increasing, but increased how many uncertain.In addition, the uncertainty in newly-increased load place, If being set according to goal programming rack, power distribution network possibly can not immediately carry out it corresponding etc..
The investment cost of programme is higher obtained by distribution network planning method under traditional certainty load, tackles load The flexibility of uncertainty variation is poor.Power distribution network planning scheme under existing uncertain load is based on uncertain plan Theory, model is complicated and solving speed is slower, it is difficult to work suitable for actual distribution network planning.
Based on above-mentioned background, this paper presents consider the probabilistic power distribution network typical case rack rule of industrial park load growth The method of drawing.First, set forth herein the probability load forecasting method based on double smoothing, using this method to typical industry garden Area's load load is predicted, to the probability distribution of typical industry garden load;Then, based on to garden uncertain load The growth of uncertain load is converted into and is based on as a result, analyze garden branch trade load growth rule by probabilistic forecasting The multistage certainty load scale of load scale;Finally, the division result based on load scale will match somebody with somebody under uncertain load Electric space truss project is converted into the multistage Distribution Network Frame planning under certainty load, according to definite load scale numerical value, provides Power distribution network typical case's space truss project wiring under the different load scale of industrial park.
The content of the invention
The present invention does not consider the influence of uncertain factor for current industrial park power distribution network, proposes that a kind of consideration is not true The industrial park distribution network planning method of qualitative factor.It proposes the probability load forecasting method based on double smoothing, uses This method can be predicted to obtain the probability distribution of typical industry garden load;It is proposed the uncertain load division based on load scale According to industrial park uncertain load increasing law, the growth of uncertain load is converted into based on load scale for method Multistage certainty load scale;Based on division gained load scale numerical value, provide under the different load scale of industrial park Power distribution network typical case's space truss project wiring program results, trend method is to garden power supply reliability based on Monte Carlo Analogue Method and repeatedly It is assessed with power supply capacity.The present invention, which carries, considers industrial park typical case rule of the negative rules factor based on load scale Method of net rack is drawn, is planned suitable for similar industrial garden Distribution Network Frame, there is preferable normative and replicability.
The technical solution adopted in the present invention is:
1 considers the industrial park distribution network planning method of uncertain factor
Probability load prediction based on exponential smoothing
Exponential smoothing is most common to be extrapolated to obtain one of Forecasting Methodology of prediction data according to historical data.Exponential smoothing Essence be the method for moving average, prediction result depends primarily upon value of the algorithm to historical data weight.In actual use one As the weight of recent historical data is more than to the weight of historical data at a specified future date.Herein double smoothing algorithm is selected to carry out probability Load prediction, the calculating process of double smoothing algorithm are as follows:
First, single exponential smoothing is carried out to initial data.Then, in single exponential smoothing result(Smoothing factor 0<< 1)On the basis of, double smoothing sequence is calculated according to formula (1) and (2)
Wherein:t=1, 2, …, T;For the smooth value of t phases, for predicting the electric load of t+1 phases For the load value of t phases.Initial valueWithIt can be taken as
Then, the intercept and slope of prediction straight line are calculated according to formula (3) and (4)
Finally, according to formula(5)It can be calculated the predicted value of future L
Formula(1)To formula(5)For the certainty load forecasting method based on double smoothing.However, power system load is by all More uncertain factors influence, and prediction result also has larger uncertainty.Probabilistic model formula is common to represent that load is not known Property distribution mathematical model.It is as follows to the Probability distribution prediction method of non-coming year load based on Monte Carlo Analogue Method:
1)Each history year peak load data in statistical forecast industrial park
2)According to history year actual conditions, the normal distribution model year by year of structure history year load;
3)Probability sampling is carried out to each history year load, obtains the certainty load value year by year of Normal Distribution.
4)According to the history year certainty load value that sampling obtains, using formula(1)~(5)Prediction year is calculated really Qualitative load value.
5)According to the maximum times of required simulation, step 3 is repeated)-4), draw the probability load prediction knot for predicting the time Fruit is fitted to obtain the probability distribution of the non-coming year load in industrial park according to prediction result.
Probability load prediction flow based on Monte Carlo Analogue Method is as shown in Figure 1.
The load prediction of typical industry garden and the division of load scale
It is advised by increasing to typical industry garden demand history load variations curve and industrial park load to uncertain load The prediction of rule can draw following rule:Industrial load in garden increases very fast, slower, the load of later stage growth in first stage of construction Uncertainty fluctuation is smaller;Garden business and resident load first stage of construction load growth is relatively slow, the later stage increase it is very fast.Therefore, The growth trend of total load substantially meets linear increase rule in garden, in the Uncertainty distribution feelings that planning year is annual Condition is also essentially identical.According to the investigation statistical result to domestic a large amount of industrial park load growth situations, general industry garden is born The saturation value of lotus is generally 50MW, and annual load growth value is essentially identical.
The variation of industrial park load value can influence the structure of garden Distribution Network Frame, and the construction of garden Distribution Network Frame is one The process of a more time phases, the distribution network planning under uncertain load should combine multistage programming method, by uncertainty It is true that the Uncertainty distribution of load by the selection of " scale " numerical value is converted to the multistage with multiple certainty load values Qualitative distribution network planning problem.It can so avoid since result caused by traditional certainty distribution network planning is more conservative, once Invest the problem of larger.Based on this rule, " scale " division can be carried out to the load growth in industrial and civil construction year, forms load " scale " space.
Power distribution network typical case's space truss project based on load scale
After " scale " division of load, the Distribution Network Frame that more time phases can be carried out according to load " scale " numerical value is planned, is based on The Distribution Network Frame planning of load " scale " need to meet the basic demand of planning directive/guide, while tackle its power supply capacity and power supply reliably Property is verified, to meet indices requirement.In addition, planning gained Distribution Network Frame should have typicalness and reproducibility, it can It easily " transplants " into the industrial park space truss project work with similar situation.
Load is from the case that 0 rises to 10MW, obtaining aerial net and transition rack such as Fig. 2 institutes of cable system first stage Show.Because transition rack one belongs to the initial construction period of garden, therefore only substation's power supply in garden is set, and User is not high to power supply reliability requirement degree.
Load is from the transition rack of aerial net and cable system second stage in the case that 10MW rises to 20MW, is obtained as schemed Shown in 3.Because transition rack two belongs to the initial construction period of garden, therefore set only substation's power supply electricity in garden Source, and user there are certain requirements power supply reliability.
Load is from aerial net and the transition rack of cable system phase III in the case that 20MW rises to 30MW, is obtained as schemed Shown in 4.Because transition rack three belongs to the Rapid development stage of garden, therefore garden Nei Youliangzuo substations power supply is set, And certain customers have higher requirements to power supply reliability.
Load is from the transition rack of aerial net and cable system fourth stage in the case that 30MW rises to 40MW, is obtained as schemed Shown in 5.Because transition rack four belongs to the steady development stage of garden, therefore garden Nei Youliangzuo substations power supply is set, And certain customers have higher requirements to power supply reliability.
Load from the case that 40MW rises to 50MW, obtain the transition rack in aerial the 5th stage of net and cable system such as Shown in Fig. 6.Because transition rack five belongs to the saturation stage of ripeness of garden, therefore set garden Nei Youliangzuo substations power supply electricity Source, and certain customers have higher requirements to power supply reliability.
The increase with the growth of garden load and power supply reliability requirement is can be seen that from typical space truss project result, The development that net is maked somebody a mere figurehead in garden should be by singly radiating or simply connected network gradually transits to multi-joint network wiring;The development Ying Youhuan of garden cable system Net cabinet is single radiation of capital equipment or Single-ring network gradually transits to connection of ring power network using switchyard as capital equipment.
Typical programme planning appraisal
For the typical rack in above-mentioned five stages, Monte Carlo Analogue Method is respectively adopted and tidal current computing method carried out repeatedly Cross the reliability of rack and net capability analysis.
The fail-safe analysis of transition rack is carried out using Monte Carlo Analogue Method.Monte Carlo Analogue Method is one kind with probability Numerical computation method based on statistics, also referred to as Monte Carlo method.Monte Carlo method is to simulate composition system on computers Each time of all random processes realization, after one section of longer time simulate, it is possible to realize to calculate according to these and be All kinds of indexs of system.In calculating, by the chance event as Monte Carlo simulation whether the failure of each component, produced with computer Whether raw stochastic variable is broken down with the operating status of analog component, the influence circuit to each load point carry out one section compared with Prolonged simulation, and parameters situation is counted, so as to finally calculate each reliability index.
The calculating of ability is powered using peak load method of multiplicity, peak load method of multiplicity is that network-adaptive load is increased Long ability represents that object function is the peak load multiple k of network with a linear programming model(System can supply most Big the ratio between load and actual load), constraints is the energy mobile equilibrium constraint of network and the capacity-constrained of circuit.It is negative using maximum Lotus method of multiplicity calculate distribution system net capability mathematical model be:
Object function:
Constraints:
In formula:f(I,kP l , P g ,U) it is trend equilibrium equation;II maxRespectively line current and circuit maximum carrying capacity;P g P g,maxFor the actual output of power supply and the output upper limit;P l For payload,kFor load maximum increased times;UU minAndU maxThe respectively bound of node voltage and node voltage.
Description of the drawings
Fig. 1 is the probability load prediction flow based on Monte Carlo Analogue Method
Fig. 2 makes somebody a mere figurehead net and cable system typical wiring for the first stage
Fig. 3 makes somebody a mere figurehead net and cable system typical wiring for second stage
Fig. 4 makes somebody a mere figurehead net and cable system typical wiring for the phase III
Fig. 5 makes somebody a mere figurehead net and cable system typical wiring for fourth stage
Fig. 6 makes somebody a mere figurehead net and cable system typical wiring for the 5th stage
Fig. 7 is to consider that the industrial park distribution network planning method of uncertain factor resolves flow
Specific embodiment
1. proposing the probability load forecasting method based on double smoothing, can be predicted to obtain typical work using this method The probability distribution of industry garden load;
2. proposing the uncertain load division methods based on load scale, increased according to industrial park uncertain load and advised The growth of uncertain load, is converted into the multistage certainty load scale based on load scale by rule;
3. based on division gained load scale numerical value, the power distribution network typical case rack rule under the different load scale of industrial park are provided Draw wiring program results.
4. it carries out synthesis to garden power supply reliability and power supply capacity using Monte Carlo Analogue Method and repeatedly trend method to comment Estimate.

Claims (4)

1. proposing the probability load forecasting method based on double smoothing, can be predicted to obtain typical industry garden using this method The probability distribution of load.
2. according to the probability load forecasting method acquired results that claim 1 proposes, the uncertainty based on load scale is proposed Load division methods according to industrial park uncertain load increasing laws, the growth of uncertain load are converted into and is based on The multistage certainty load scale of load scale.
3. according to the load scale numerical value that claim 2 determines, the power distribution network typical case under the different load scale of industrial park is provided Space truss project wiring provides respectively using cable system to advocate peace and makes somebody a mere figurehead the typical distribution net wiring based on netting.
4. the industrial park power distribution network typical case's space truss project wiring obtained according to claim 3, using Monte Carlo Analogue Method and Trend method is powered reliability and evaluation of power supply capability to planning wiring repeatedly.
CN201810020913.8A 2018-01-10 2018-01-10 Consider the industrial park distribution network planning method of uncertain factor Pending CN108110756A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956298A (en) * 2018-09-27 2020-04-03 上海博英信息科技有限公司 Load prediction method based on air temperature confidence interval
CN115222211A (en) * 2022-06-21 2022-10-21 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Electric power energy intelligent analysis management and control system based on internet of things technology
CN115313371A (en) * 2022-08-22 2022-11-08 国网冀北电力有限公司经济技术研究院 Power distribution network frame planning device based on source load uncertainty

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JP2015211250A (en) * 2014-04-24 2015-11-24 株式会社サイバー創研 Communication node, band allocation method and band allocation program
CN104239971A (en) * 2014-09-05 2014-12-24 东北电力大学 Spatial load forecasting error evaluation method based on multi-scale spatial resolution
CN106845669A (en) * 2016-12-12 2017-06-13 国网上海市电力公司 Method based on exponential smoothing prediction power network year continuous loading
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956298A (en) * 2018-09-27 2020-04-03 上海博英信息科技有限公司 Load prediction method based on air temperature confidence interval
CN115222211A (en) * 2022-06-21 2022-10-21 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Electric power energy intelligent analysis management and control system based on internet of things technology
CN115313371A (en) * 2022-08-22 2022-11-08 国网冀北电力有限公司经济技术研究院 Power distribution network frame planning device based on source load uncertainty
CN115313371B (en) * 2022-08-22 2024-04-19 国网冀北电力有限公司经济技术研究院 Power distribution network rack planning device based on source load uncertainty

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